Machine Learning Bioinformatics
Machine Learning Bioinformatics
Posted on :
10-02-2025
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1 Vacancy
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Job Description
Job Title: Machine Learning Bioinformatics
Job Location: Oxford UK
Job Location Type: Hybrid
Job Contract Type: Fulltime
Job Seniority Level: Entry level
Job Title: AI/ML Bioinformatician
Location: Oxford UK with hybrid working
Job Type: FullTime
About Oxford BioTherapeutics
Oxford BioTherapeutics (OBT) is a clinical stage oncology company with a pipeline of antibodydrug conjugate and immune oncologybased therapies. Discovery of novel tumour antigens and immune cell surface proteins using proteomics is a keystone of OBT’s research and is performed using the proprietary Oxford Genome Anatomy Project (OGAP®) database. OBT currently has one ADC in clinical trials. OBT is a dynamic growing international biotechnology company based in Oxford UK and San Jose CA. For further information please see
Job Description
We are seeking a highly skilled and motivated AI/ML Biological Data Miner to join our dynamic target discovery team. In this role you will be responsible for developing and implementing advanced machine learning algorithms to analyse complex biological datasets. Your work will contribute to groundbreaking discoveries in proteomics oncology diabetes and other areas of life sciences.
Key Responsibilities
We are committed to equality of opportunity for all employee and applications from individuals are encouraged regardless of age disability sex gender reassignment sexual orientation pregnancy and maternity race religion or belief and marriage and civil partnerships
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Location: Oxford UK with hybrid working
Job Type: FullTime
About Oxford BioTherapeutics
Oxford BioTherapeutics (OBT) is a clinical stage oncology company with a pipeline of antibodydrug conjugate and immune oncologybased therapies. Discovery of novel tumour antigens and immune cell surface proteins using proteomics is a keystone of OBT’s research and is performed using the proprietary Oxford Genome Anatomy Project (OGAP®) database. OBT currently has one ADC in clinical trials. OBT is a dynamic growing international biotechnology company based in Oxford UK and San Jose CA. For further information please see
Job Description
We are seeking a highly skilled and motivated AI/ML Biological Data Miner to join our dynamic target discovery team. In this role you will be responsible for developing and implementing advanced machine learning algorithms to analyse complex biological datasets. Your work will contribute to groundbreaking discoveries in proteomics oncology diabetes and other areas of life sciences.
Key Responsibilities
- Develop and apply machine learning models to analyse largescale biological data.
- Collaborate with crossfunctional teams including biologists bioinformaticians and software engineers to design and implement data mining solutions.
- Perform data processing and model improvement / evaluation to ensure the accuracy and reliability of results.
- Interpret and visualise data to provide actionable insights for research and development projects.
- Stay uptodate with the latest advancements in AI machine learning proteomics and bioinformatics to continuously improve methodologies.
- Document and present findings to both technical and nontechnical stakeholders including external collaborators.
- Masters or Ph.D. in Computer Science Bioinformatics Computational Biology or a related field.
- Strong background in machine learning data mining and statistical analysis.
- Proficiency in programming languages such as Python R or C#.
- Experience with machine learning frameworks and libraries
- Familiarity with biological databases and tools (e.g. NCBI Ensembl BLAST).
- Excellent problemsolving skills and attention to detail.
- Strong communication and teamwork abilities.
- Experience in proteomics
- Knowledge of platforms for largescale data analysis.
- Publications in relevant scientific journals or conferences.
- Competitive salary and benefits package including:
- Private health care (BUPA)
- Health Cash Plan
- Generous pension scheme with potential employer contribution of up to 10% (based on matched contribution)
- Discretionary annual bonus scheme
- Free onsite parking
- Office snacks
- Enhanced holiday entitlement above statutory minimum plus public holidays
- New hire stock options
- Opportunities for professional growth and development.
- Collaborative and innovative work environment.
- Access to cuttingedge technology and resources.
We are committed to equality of opportunity for all employee and applications from individuals are encouraged regardless of age disability sex gender reassignment sexual orientation pregnancy and maternity race religion or belief and marriage and civil partnerships
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Employment Type
Full Time
Key Skills
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